MARC Record from marc_columbia

LEADER: 04789cam a2200805 i 4500
001 14916945
005 20220627133904.0
006 m o d
007 cr |||||||||||
008 200528t20202020flua ob 001 0 eng c
010 $a 2020006653
035 $a(OCoLC)on1155638000
035 $a(NNC)14916945
040 $aYUS$beng$cYUS$dUAB$dTYFRS$dUKAHL$dOCLCO$dDLC$dOCLCF$dYDX$dN$T$dOCLCO
019 $a1145092637$a1200350218
020 $a9780429155192$qelectronic book
020 $a0429155190$qelectronic book
020 $z9780367495169$qpaperback
020 $z9781498772594$qhardcover
020 $a9780429547065$q(electronic bk. : Mobipocket)
020 $a0429547064$q(electronic bk. : Mobipocket)
020 $a9781498772600$q(electronic bk. : PDF)
020 $a1498772609$q(electronic bk. : PDF)
020 $a9780429532368$q(electronic bk. : EPUB)
020 $a0429532369$q(electronic bk. : EPUB)
024 8 $a16617334
035 $a(OCoLC)1155638000$z(OCoLC)1145092637$z(OCoLC)1200350218
037 $a9780429155192$bTaylor & Francis
042 $apcc
050 4 $aQH450$b.Z43 2020
072 7 $aSCI$x010000$2bisacsh
072 7 $aSCI$x008000$2bisacsh
072 7 $aPS$2bicssc
082 04 $a572.8/65$223
049 $aZCUA
100 1 $aZhang, Hongmei$c(Professor of Biostatistics),$eauthor.
245 10 $aAnalyzing high-dimensional gene expression and DNA methylation data with R$h[electronic resource] /$cHongmei Zhang.
264 1 $aBoca Raton, FL :$bCRC Press,$c2020.
264 4 $c©2020
300 $a1 online resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bn$2rdamedia
338 $aonline resource$bnc$2rdacarrier
490 1 $aChapman & Hall/CRC mathematical and computational biology
500 $a"A Chapman & Hall Book" -- Title page.
504 $aIncludes bibliographical references and index.
588 $aDescription based on online resource; title from digital title page (viewed on July 13, 2020).
505 0 $aGenome-Scale Genetic and Epigenetic Data. Methods for Data Pre-Processing. Data Mining. Genetic and Epigenetic Factor Selections. Network Construction and Analyses.
520 $aAnalyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: •Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. •Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). •Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.
650 0 $aGene expression$xStatistical methods.
650 0 $aGene expression$xData processing.
650 0 $aDNA$xMethylation.
650 0 $aEpigenetics$xStatistical methods.
650 0 $aR (Computer program language)
650 6 $aExpression génique$xMéthodes statistiques.
650 6 $aExpression génique$xInformatique.
650 6 $aADN$xMéthylation.
650 6 $aÉpigénétique$xMéthodes statistiques.
650 6 $aR (Langage de programmation)
650 7 $aSCIENCE / Biotechnology$2bisacsh
650 7 $aSCIENCE / Life Sciences / Biology / General$2bisacsh
650 7 $aDNA$xMethylation.$2fast$0(OCoLC)fst00886570
650 7 $aGene expression$xData processing.$2fast$0(OCoLC)fst00939614
650 7 $aR (Computer program language)$2fast$0(OCoLC)fst01086207
655 4 $aElectronic books.
710 2 $aTaylor & Francis.
776 08 $iPrint version:$aZhang, Hongmei (Professor of Biostatistics).$tAnalyzing high-dimensional gene expression and DNA methylation data with R$dBoca Raton, FL : CRC Press, 2020.$z9780367495169$w(DLC) 2020006652
830 0 $aChapman and Hall/CRC mathematical & computational biology series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14916945$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS